Triple

T12894058
Position Surface form Disambiguated ID Type / Status
Subject Sebastian Koch E308445 entity
Predicate notableWork P4 FINISHED
Object Napola
Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
E1008806 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Napola | Statement: [Sebastian Koch, notableWork, Napola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Napola
Context triple: [Sebastian Koch, notableWork, Napola]
  • A. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • B. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • C. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • D. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • E. Lyautey
    Lyautey is a French surname most prominently associated with Marshal Hubert Lyautey, a key military leader and colonial administrator in early 20th-century France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Napola
Triple: [Sebastian Koch, notableWork, Napola]
Generated description
Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Napola
Target entity description: Napola is a 2004 German drama film (also known as "Before the Fall") that portrays the indoctrination and moral conflict of youths attending an elite Nazi boarding school during World War II.
  • A. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • B. Forlani
    Forlani is an Italian surname most notably associated with English actress Claire Forlani.
  • C. Laurenti
    Laurenti is a surname of Italian origin associated with figures such as the 18th-century naturalist Josephus Nicolaus Laurenti.
  • D. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • E. Lyautey
    Lyautey is a French surname most prominently associated with Marshal Hubert Lyautey, a key military leader and colonial administrator in early 20th-century France.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971484aa08190a8adfafabe600903 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55daf788190be72af98b288bd70 completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a641d1988190b9af41c8c7ca599e completed May 3, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69f6a77ba20081908f72f46f64382fca completed May 3, 2026, 1:40 a.m.
Created at: April 9, 2026, 5:40 p.m.